README.md

metadata

title: Advanced Sentiment Analyzer
emoji: 🚀
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

🚀 Advanced Sentiment Analyzer

Multi-Model AI System for Superior Sentiment Analysis

This space demonstrates an advanced sentiment analysis system that uses multiple AI models working together to provide more accurate predictions than any single model alone.

🤖 How It Works

The system employs up to 4 different transformer models:

• YelpReviewsAnalyzer: Custom fine-tuned model (78.5% accuracy)
• DistilBERT: General-purpose sentiment analysis
• Twitter-RoBERTa: Optimized for social media text
• FinBERT: Specialized for financial sentiment

These models work together using a consensus algorithm that:

1. Runs all models in parallel
2. Collects individual predictions
3. Builds consensus through weighted voting
4. Provides agreement scores for reliability assessment

🎯 Features

• Multi-Model Consensus: Higher accuracy through model ensemble
• Real-time Analysis: Fast sentiment prediction
• Confidence Scoring: Know how certain the prediction is
• Agreement Assessment: Understand model consensus level
• Production Ready: Built for real-world applications

📊 Performance

• Individual Model Accuracy: 72-78%
• Consensus Accuracy: ~85%+ through ensemble voting
• Processing Speed: < 2 seconds for multi-model analysis

🔗 Links

• GitHub Repository: Sentiment-Analyzer
• Original Model: YelpReviewsAnalyzer
• Paper/Research: Complete methodology in GitHub repo

---

Built with ❤️ using Hugging Face Transformers, PyTorch, and Gradio